A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes.
Samuele FioriniAlessandro VerriAndrea TacchinoMichela PonzioGiampaolo BrichettoAnnalisa BarlaPublished in: EMBC (2015)
Keyphrases
- multiple sclerosis
- clinical trials
- lesion segmentation
- machine learning
- disease progression
- clinical practice
- magnetic resonance images
- decision support system
- white matter
- patient data
- brain mri
- clinical data
- mr images
- medical treatment
- medical data
- imaging modalities
- multiscale
- data mining
- patient care
- medical records
- cross sectional
- learning algorithm
- cancer patients
- computational intelligence
- magnetic resonance
- prostate cancer
- breast cancer
- medical images